SpikeInterface/spikeinterface
Apr 2025 – Apr 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationCode RefactoringData AnalysisData ExportData ProcessingLibrary Integration
Jonah Pearl
PROFILE
Jonah Pearl
Jonah Pearl developed and validated an IBL export workflow for spike sorting data in the SpikeInterface/spikeinterface repository, enabling standardized data sharing with the Integrated Brain Laboratory. He implemented the exporter using Python, focusing on API integration, data processing, and scientific computing to generate quality metrics, RMS values, and spectral density data for both AP and LFP recordings. Jonah ensured the exported data adhered to IBL specifications by reformatting spike and cluster data, handling file naming conventions, and performing dependency checks. He also improved robustness in extension data loading and metric calculations, adding comprehensive tests to maintain reliability and CI stability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
389
Activity Months1
Your Network
50 people
Work History
April 2025
6 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for SpikeInterface/spikeinterface focused on delivering and validating an IBL export workflow for spike sorting data, enhancing data interoperability, and improving robustness and test coverage. The work enables standardized data sharing with the Integrated Brain Laboratory (IBL), paving the way for cross-site analyses and reproducible pipelines.
6 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for SpikeInterface/spikeinterface focused on delivering and validating an IBL export workflow for spike sorting data, enhancing data interoperability, and improving robustness and test coverage. The work enables standardized data sharing with the Integrated Brain Laboratory (IBL), paving the way for cross-site analyses and reproducible pipelines.
April 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability83.4%
Architecture73.4%
Performance68.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationCode RefactoringData AnalysisData ExportData ProcessingLibrary IntegrationPythonScientific ComputingSignal ProcessingSpikeInterfaceTesting
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